Research Of Enterprise Information Integration Method Based On Master Data Management Technologies

With the size of enterprise data increasing year by year, enterprise data management becomes more and more challenging. Sparsely located application systems created for different purposes could also lead to data redundancy and inconsistency. Master data management (MDM) technology has been put to use in enterprise information integration to improve the consistency of data. Master data management is the framework of process, technologies and applications aimed at creating and maintaining an authoritative, reliable, sustainable, accurate and secure data environment that represents a single accurate version of data. However, there is still an embarrassing lack of research in MDM systems. More effective research is demanded on business data synchronizing, matching, transformation and visiting through MDM systems. This paper carries research on enterprise information integration based on master data management technologies. In this paper, the process and method of integrating different application systems is analyzed based on technologies related to master data management technologies, and the integration method under the scenarios of both fixed and reconfigurable data schema are proposed. Furthermore, we put forward the design of the integration system between reconfigurable enterprise knowledge management system and employee management system. On the other hand, we have made improvements to the schema mapping algorithm on different meta-models. We introduce linear correlation coefficient between similarities as a criterion for convergence, and set similarity iteration weightings according to the number of adjacent elements. Experiments have shown that these techniques have improved the algorithm both in iteration convergence speed and in mapping accuracy. Automatic schema mapping could be an effective auxiliary means of master data management system creation.